https://www.gpt-video.com/blog Guides and playbooks on short-form video, AI editing and growing on vertical platforms, from the team building GPT-Video. en https://www.gpt-video.com/blog/how-many-videos-before-viral-post https://www.gpt-video.com/blog/how-many-videos-before-viral-post Tue, 15 Sep 2026 09:00:00 GMT Most creators post between thirty and sixty short-form clips before one breaks out of their normal view range. There is no fixed number, because each clip is an independent test of hook, topic and timing. The pattern that shows up across accounts is that volume creates surface area: more clips mean more chances for the algorithm to find the right audience for one of them. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/how-many-times-post-reels-per-day https://www.gpt-video.com/blog/how-many-times-post-reels-per-day Mon, 14 Sep 2026 09:00:00 GMT Posting one to two Reels per day is the realistic maximum for most creators who want sustained growth without burning out. More than two daily posts rarely improves reach on Instagram's current algorithm, which distributes each Reel over roughly 24 hours. The real constraint is not the platform limit but your ability to produce clips that each make a standalone point. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/zoom-recording-to-short-clips-workflow https://www.gpt-video.com/blog/zoom-recording-to-short-clips-workflow Sun, 13 Sep 2026 09:00:00 GMT Import the Zoom recording into a tool that transcribes the full call and scores each segment for standalone clarity. Review the highest-scoring moments, keep only those that make sense without the meeting context, reframe to 9:16 with face tracking, and add animated captions. A one-hour Zoom call typically yields five to eight usable vertical clips. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/youtube-video-to-shorts-workflow https://www.gpt-video.com/blog/youtube-video-to-shorts-workflow Sat, 12 Sep 2026 09:00:00 GMT Import the YouTube video into a clipping tool that transcribes and scores the audio, then review the suggested moments rather than watching the full recording. Keep clips that make one clear point without setup from earlier in the video, reframe to 9:16 with face tracking, add animated captions, and export each as a standalone short. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/webinar-to-short-clips-system https://www.gpt-video.com/blog/webinar-to-short-clips-system Fri, 11 Sep 2026 09:00:00 GMT One hour of webinar footage yields seven to ten short clips when you treat it as raw material. Select standalone moments with a single clear point first, then reframe to 9:16 with face tracking, add animated captions for silent viewing, and schedule the clips across the week. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/abundance-engine-one-video-one-month https://www.gpt-video.com/blog/abundance-engine-one-video-one-month Tue, 25 Aug 2026 09:00:00 GMT One long recording holds enough material for a month of short-form posts. The bottleneck was never ideas, it was editing time. Transcribe the recording, score every moment for a hook and a payoff, cut the best ten to twenty as vertical clips, then publish them on a fixed schedule. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/ai-captions-that-get-watched https://www.gpt-video.com/blog/ai-captions-that-get-watched Tue, 25 Aug 2026 09:00:00 GMT Captions are read, not watched, so timing matters more than styling. Show one to three words at a time, synchronised to speech rather than to fixed intervals, positioned in the middle third and clear of platform interface elements. Most short-form video is watched muted, which makes captions the primary track. AI video editing, explained Alessio Battagliero https://www.gpt-video.com/blog/anatomy-of-a-short-form-clip https://www.gpt-video.com/blog/anatomy-of-a-short-form-clip Tue, 25 Aug 2026 09:00:00 GMT A short clip that works has four parts: a hook that earns the first three seconds, context compressed into one line, a payoff that justifies the hook, and an ending that resolves instead of trailing off. Retention is decided part by part, and the hook decides whether the rest is ever seen. What makes a clip work Alessio Battagliero https://www.gpt-video.com/blog/auto-reframe-explained https://www.gpt-video.com/blog/auto-reframe-explained Tue, 25 Aug 2026 09:00:00 GMT Auto reframe crops a widescreen frame to vertical by deciding, frame by frame, what to keep. A face detector locates people, a tracker follows them across time, and the crop window moves toward whoever is speaking, smoothed so it pans rather than jumps. Roughly two thirds of the original width is discarded. AI video editing, explained Alessio Battagliero https://www.gpt-video.com/blog/content-multiplication-math https://www.gpt-video.com/blog/content-multiplication-math Tue, 25 Aug 2026 09:00:00 GMT On interest-based feeds every clip is a fresh test with its own audience, so reach accumulates across posts rather than within them. Posting five clips a week gives five independent chances to find an audience instead of one, which is why cadence usually outperforms a single more polished upload. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/first-three-seconds-hooks-dissected https://www.gpt-video.com/blog/first-three-seconds-hooks-dissected Tue, 25 Aug 2026 09:00:00 GMT A hook has one job in three seconds: make scrolling feel like a loss. It does that by opening an information gap, stating something that sounds wrong, or showing a result before the process. In recorded conversation the hook is usually already there — it is just rarely at the start of the sentence. What makes a clip work Alessio Battagliero https://www.gpt-video.com/blog/how-many-clips-from-one-podcast-episode https://www.gpt-video.com/blog/how-many-clips-from-one-podcast-episode Tue, 25 Aug 2026 09:00:00 GMT A one-hour conversational podcast episode typically yields ten to twenty usable vertical clips, about one every three to six minutes of runtime. Interview formats and unscripted conversation produce the most; tightly scripted monologue produces the fewest, because self-contained moments are rarer. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/one-hour-weekly-clip-workflow https://www.gpt-video.com/blog/one-hour-weekly-clip-workflow Tue, 25 Aug 2026 09:00:00 GMT Run the whole week in one sitting: import the recording, let it transcribe and score, review the suggested moments and keep the strongest ten, check captions and framing on each, then schedule them across the week. Automated clipping keeps the human part to review and judgement, roughly one hour. The abundance engine Alessio Battagliero https://www.gpt-video.com/blog/tiktok-reels-shorts-one-clip https://www.gpt-video.com/blog/tiktok-reels-shorts-one-clip Tue, 25 Aug 2026 09:00:00 GMT All three want 1080x1920 vertical MP4 with H.264 video and AAC audio, so one export can serve all three. What differs is runtime limits and interface safe areas, which is why captions placed too low get covered on at least one platform. Keep text inside the middle third. What makes a clip work Alessio Battagliero https://www.gpt-video.com/blog/viral-formats-explained https://www.gpt-video.com/blog/viral-formats-explained Tue, 25 Aug 2026 09:00:00 GMT Fake text videos suit short dramatic exchanges and work without any footage. Reddit story videos suit narrative text over filler gameplay and carry long runtimes. Split screen suits reaction and commentary, where two things must be seen at once. Pick by what the content is, not by what is trending. What makes a clip work Alessio Battagliero https://www.gpt-video.com/blog/what-is-ai-video-editing https://www.gpt-video.com/blog/what-is-ai-video-editing Tue, 25 Aug 2026 09:00:00 GMT AI video editing is software that performs editing decisions, not just editing operations. It transcribes speech, scores which moments are worth keeping, crops the frame to follow whoever is speaking, and generates timed captions. The human still decides what is good; the machine removes the mechanical work in between. AI video editing, explained Alessio Battagliero https://www.gpt-video.com/blog/what-is-vibe-editing https://www.gpt-video.com/blog/what-is-vibe-editing Tue, 25 Aug 2026 09:00:00 GMT Vibe editing is editing by description: you say what you want in plain language and the tool plans the operations, applies them and lets you undo them. It borrows its name from vibe coding. The timeline still exists underneath — you just stop being the one who drives it. AI video editing, explained Alessio Battagliero